Login

Chicago Wolves
GP: 26 | W: 19 | L: 5 | OTL: 2 | P: 40
GF: 108 | GA: 67 | PP%: 33.33% | PK%: 77.78%
GM : Yannick Masse | Morale : 50 | Team Overall : N/A
Next Games #407 vs LeHigh Valley Phantoms
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Chicago Wolves
19-5-2, 40pts
5
FINAL
1 Hershey Bears
5-20-1, 11pts
Team Stats
W2StreakL9
10-1-1Home Record3-8-1
9-4-1Home Record2-12-0
7-1-2Last 10 Games0-9-1
4.15Goals Per Game1.81
2.58Goals Against Per Game4.04
33.33%Power Play Percentage11.43%
77.78%Penalty Kill Percentage81.40%
Belleville Senators
8-16-0, 16pts
3
FINAL
5 Chicago Wolves
19-5-2, 40pts
Team Stats
L4StreakW2
3-9-0Home Record10-1-1
5-7-0Home Record9-4-1
4-6-0Last 10 Games7-1-2
2.25Goals Per Game4.15
4.00Goals Against Per Game2.58
12.50%Power Play Percentage33.33%
77.78%Penalty Kill Percentage77.78%
LeHigh Valley Phantoms
8-19-0, 16pts
Day 60
Chicago Wolves
19-5-2, 40pts
Team Stats
W1StreakW2
6-6-0Home Record10-1-1
2-13-0Away Record9-4-1
3-7-0Last 10 Games7-1-2
2.07Goals Per Game4.15
3.85Goals Against Per Game4.15
6.52%Power Play Percentage33.33%
74.42%Penalty Kill Percentage77.78%
Chicago Wolves
19-5-2, 40pts
Day 61
Henderson Silver Knights
20-1-2, 42pts
Team Stats
W2StreakW2
10-1-1Home Record11-1-1
9-4-1Away Record9-0-1
7-1-2Last 10 Games8-0-2
4.15Goals Per Game3.39
2.58Goals Against Per Game3.39
33.33%Power Play Percentage14.29%
77.78%Penalty Kill Percentage96.00%
Chicago Wolves
19-5-2, 40pts
Day 65
Belleville Senators
8-16-0, 16pts
Team Stats
W2StreakL4
10-1-1Home Record3-9-0
9-4-1Away Record5-7-0
7-1-2Last 10 Games4-6-0
4.15Goals Per Game2.25
2.58Goals Against Per Game2.25
33.33%Power Play Percentage12.50%
77.78%Penalty Kill Percentage77.78%
Team Leaders
Goals
Michael Mersch
20
Assists
Robin Salo
26
Points
Michael Mersch
41
Plus/Minus
Charles Hudon
29

Team Stats
Goals For
108
4.15 GFG
Shots For
924
35.54 Avg
Power Play Percentage
33.3%
19 GF
Offensive Zone Start
47.9%
Goals Against
67
2.58 GAA
Shots Against
474
18.23 Avg
Penalty Kill Percentage
77.8%%
10 GA
Defensive Zone Start
23.6%
Team Info

General ManagerYannick Masse
DivisionSOUTHEAST
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,930
Season Tickets300


Roster Info

Pro Team27
Farm Team21
Contract Limit48 / 250
Prospects33


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Gabriel DumontXX100.006054726369837961676062646174793050003321,999,999$
2Charles HudonX100.005939756769948365726664636870724750003021,750,000$
3Michael MerschX100.007439866283818361646260635972773750003121,999,999$
4Lias AnderssonXX100.00753881647389826268616360646768835000251750,000$
5Alex TurcotteX100.00603785666977766571636062666465875000232832,500$
6Jakob Pelletier (R)X100.00633687666385766560636261666465805000231832,500$
7Danil Gushchin (R)X100.00613788676292846563666461676365665000222867,500$
8Emil Heineman (R)X100.00683884637586716258576159626365745000222925,000$
9Steven KampferX100.00633978617277795830635456477681305000361800,000$
10Josh MahuraX100.00723581667383816530725663516667604600263750,000$
11Robin SaloX100.00683886677876826430666561546668705000252842,500$
12Cameron CrottyX100.00793985598075825830575662516567625000252775,000$
13Nikita OkhotiukX100.00756071657683766130645963506465665000234775,000$
14Tyler Tucker (R)X100.00726761637880785830625961536466485000243800,000$
15Victor SoderstromX100.00623781656985866330665861506365845000232832,500$
16Zac Jones (R)X100.00593786656783796430666062526465675000231925,000$
17Emil Andrae (R)X100.00653872636779736230615758496264715000222892,500$
Scratches
1Daniel O'ReganX100.004035404035809040204040403025251150003011,999,999$
2Jonathan Davidsson (R)X100.00403540403580904020404040302525115000271787,500$
3Arttu RuotsalainenX100.00403540403580904020404040302525115000262925,000$
4Emilio PettersenX100.00573882616682845866635956606466485000244775,000$
5Keean WashkurakX100.00564071576771805659545552536465495000231835,000$
6Simon RyforsX100.00403540643580904020404040306668115000272842,500$
7Tommy CrossX100.004035405635809040204040403074791150003621,999,999$
8Gianni FairbrotherX100.00403540403580904020404040302525115000241842,500$
9Simon LundmarkX100.00723991578165845530565358466466695000232867,500$
TEAM AVERAGE100.0060407160638182564157555650606250500
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Dylan Garand (R)100.0066957970675960596050746269625000222775,000$
Scratches
TEAM AVERAGE100.006695797067596059605074626962500
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Michael MerschChicago Wolves (CAR)LW262021411718084561675913611.98%1155421.330554251013301181.91%9400021.4825000464
2Robin SaloChicago Wolves (CAR)D26152641131801313273274220.55%3252820.3383113146000132300%000001.5500000912
3Charles HudonChicago Wolves (CAR)LW2619153429552120106227417.92%428510.9900000000005366.67%1500022.3811100312
4Gabriel DumontChicago Wolves (CAR)C/RW2613203391202738124398810.48%536514.06246925000101381.82%36300001.8133000134
5Alex TurcotteChicago Wolves (CAR)C261221332940143080256415.00%628611.0000000000002081.58%22800002.3101000053
6Nikita OkhotiukChicago Wolves (CAR)D26622281417585223792516.22%2835313.581127900000100%000001.5900100233
7Victor SoderstromChicago Wolves (CAR)D26109193100621248173320.83%1945217.396172932000019300%000000.8400000103
8Zac JonesChicago Wolves (CAR)D2621012316102914409195.00%845117.351562231000020000%000000.5300200010
9Simon RyforsChicago Wolves (CAR)C4011000002040%0235.8100000000030070.00%2000000.8600000000
10Emilio PettersenChicago Wolves (CAR)LW4000000001000%010.30000000000000100.00%10000000000000
Team Total or Average216971452421171002045322467820748514.31%113330115.28181937102169101510716781.14%72100041.47610400202021
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Alex TurcotteChicago Wolves (CAR)C232001-02-26USANo185 Lbs5 ft11NoNoN/ANoNo22024-05-19FalseFalsePro & Farm832,500$583,608$0$0$No832,500$--------832,500$--------No--------Link
Arttu RuotsalainenChicago Wolves (CAR)C261997-10-29FINNo187 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm925,000$648,454$0$0$No925,000$--------600,000$--------No--------Link
Cameron CrottyChicago Wolves (CAR)D251999-05-05CANNo182 Lbs6 ft3NoNoN/ANoNo22024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No775,000$--------775,000$--------No--------Link
Charles HudonChicago Wolves (CAR)LW301994-06-23CANNo190 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,750,000$1,226,804$0$0$No1,750,000$--------600,000$--------No--------Link
Daniel O'ReganChicago Wolves (CAR)C301994-01-30GERNo180 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,999,999$1,402,061$0$0$No---------------------------Link
Danil GushchinChicago Wolves (CAR)LW222002-02-06RUSYes165 Lbs5 ft8NoNoAssign ManuallyNoNo22024-08-20FalseFalsePro & Farm867,500$608,144$0$0$No867,500$--------600,000$--------No--------Link
Dylan GarandChicago Wolves (CAR)G222002-06-07CANYes173 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-20FalseFalsePro & Farm775,000$543,299$0$0$No775,000$--------600,000$--------No--------Link
Emil AndraeChicago Wolves (CAR)D222002-02-23SWEYes189 Lbs5 ft9NoNoAssign ManuallyNoNo22024-08-20FalseFalsePro & Farm892,500$625,670$0$0$No892,500$--------600,000$--------No--------Link
Emil HeinemanChicago Wolves (CAR)LW222001-10-26SWEYes202 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-20FalseFalsePro & Farm925,000$648,454$0$0$No925,000$--------600,000$--------No--------Link
Emilio PettersenChicago Wolves (CAR)LW242000-04-03NORNo170 Lbs5 ft11NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Link
Gabriel DumontChicago Wolves (CAR)C/RW331990-10-06CANNo195 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,999,999$1,402,061$0$0$No1,999,999$--------600,000$--------No--------Link
Gianni FairbrotherChicago Wolves (CAR)D242000-09-03CANNo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm842,500$590,619$0$0$No---------------------------Link
Jakob PelletierChicago Wolves (CAR)LW232001-03-07CANYes170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm832,500$583,608$0$0$No---------------------------Link
Jonathan DavidssonChicago Wolves (CAR)RW271997-03-12SWEYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm787,500$552,062$0$0$No---------------------------Link
Josh MahuraChicago Wolves (CAR)D261998-05-05CANNo193 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm750,000$525,773$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Keean WashkurakChicago Wolves (CAR)C232001-08-16CANNo184 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm835,000$585,361$0$0$No---------------------------Link
Lias AnderssonChicago Wolves (CAR)C/LW251998-10-13SWENo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$525,773$0$0$No---------------------------Link
Michael MerschChicago Wolves (CAR)LW311992-10-02USANo213 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,999,999$1,402,061$0$0$No1,999,999$--------600,000$--------No--------Link
Nikita OkhotiukChicago Wolves (CAR)D232000-12-04RUSNo195 Lbs6 ft1NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Link
Robin SaloChicago Wolves (CAR)D251998-10-13FINNo190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm842,500$590,619$0$0$No842,500$--------600,000$--------No--------Link
Simon LundmarkChicago Wolves (CAR)D232000-10-08SWENo201 Lbs6 ft2NoNoN/ANoNo22024-05-19FalseFalsePro & Farm867,500$608,144$0$0$No867,500$--------867,500$--------No--------Link
Simon RyforsChicago Wolves (CAR)C271997-08-16SWENo181 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm842,500$590,619$0$0$No842,500$--------600,000$--------No--------Link
Steven KampferChicago Wolves (CAR)D361988-09-24USANo198 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$560,825$0$0$No---------------------------Link
Tommy CrossChicago Wolves (CAR)D361988-09-14USANo205 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,999,999$1,402,061$0$0$No1,999,999$--------600,000$--------No--------Link
Tyler TuckerChicago Wolves (CAR)D242000-03-01CANYes204 Lbs6 ft1NoNoAssign ManuallyNoNo32024-08-20FalseFalsePro & Farm800,000$560,825$0$0$No800,000$800,000$-------600,000$600,000$-------NoNo-------Link
Victor SoderstromChicago Wolves (CAR)D232001-02-26SWENo184 Lbs5 ft11NoNoN/ANoNo22024-05-19FalseFalsePro & Farm832,500$583,608$0$0$No832,500$--------832,500$--------No--------Link
Zac JonesChicago Wolves (CAR)D232000-10-18USAYes176 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm925,000$648,454$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2725.85188 Lbs5 ft111.931,037,037$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael MerschGabriel Dumont38122
230122
3Michael Mersch22122
4Charles HudonAlex Turcotte10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Robin Salo38122
2Zac JonesVictor Soderstrom30122
3Nikita Okhotiuk22122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael MerschGabriel Dumont60122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Robin Salo60122
2Zac JonesVictor Soderstrom40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael Mersch60122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Robin Salo60122
2Zac JonesVictor Soderstrom40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael Mersch60122Robin Salo60122
240122Zac JonesVictor Soderstrom40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Michael Mersch60122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Robin Salo60122
2Zac JonesVictor Soderstrom40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Michael MerschGabriel DumontRobin Salo
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Michael MerschGabriel DumontRobin Salo
Extra Forwards
Normal PowerPlayPenalty Kill
, Charles Hudon, , Charles Hudon
Extra Defensemen
Normal PowerPlayPenalty Kill
Nikita Okhotiuk, , Nikita Okhotiuk,
Penalty Shots
Michael Mersch, , , , Gabriel Dumont
Goalie
#1 : , #2 :


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Bakersfield Condors21100000981000000000002110000098120.50091625004229347802633213262937106624250.00%30100.00%043669063.19%18534054.41%27841167.64%920751406118258149
2Belleville Senators3300000016881100000053222000000115661.00016304600422934711026332132629531612827342.86%5260.00%043669063.19%18534054.41%27841167.64%920751406118258149
3Bridgeport Islanders10000010431100000104310000000000021.0004590042293474926332132629215427200.00%2150.00%043669063.19%18534054.41%27841167.64%920751406118258149
4Calgary Wranglers11000000606000000000001100000060621.000691501422934753263321326298402733100.00%000%043669063.19%18534054.41%27841167.64%920751406118258149
5Charlotte Checkers22000000844110000002111100000063341.00081624004229347562633213262934138392150.00%40100.00%043669063.19%18534054.41%27841167.64%920751406118258149
6Coachella Valley Firebirds1000000156-11000000156-10000000000010.500591400422934726263321326292984164250.00%220.00%043669063.19%18534054.41%27841167.64%920751406118258149
7Colorado Eagles2010000148-4000000000002010000148-410.250471100422934753263321326295116956100.00%110.00%043669063.19%18534054.41%27841167.64%920751406118258149
8Hershey Bears440000002041622000000111102200000093681.00020365601422934714826332132629712010759222.22%6183.33%043669063.19%18534054.41%27841167.64%920751406118258149
9Manitoba Moose10000010541100000105410000000000021.0005712004229347472633213262914293122100.00%2150.00%043669063.19%18534054.41%27841167.64%920751406118258149
10Rockford IceHogs11000000808110000008080000000000021.000811190142293475526332132629774143266.67%20100.00%143669063.19%18534054.41%27841167.64%920751406118258149
11San Jose Barracuda1010000024-2000000000001010000024-200.00023510422934740263321326292291119300.00%30100.00%043669063.19%18534054.41%27841167.64%920751406118258149
12Syracuse Crunch22000000963220000009630000000000041.00091625004229347642633213262935101742200.00%6183.33%043669063.19%18534054.41%27841167.64%920751406118258149
13Texas Stars1010000013-2000000000001010000013-200.000123004229347212633213262923844500.00%20100.00%043669063.19%18534054.41%27841167.64%920751406118258149
14Toronto Marlies10000010321000000000001000001032121.00034700422934740263321326299561911100.00%30100.00%043669063.19%18534054.41%27841167.64%920751406118258149
15Tucson Roadrunners11000000422000000000001100000042221.0004711004229347382633213262919702611100.00%000%043669063.19%18534054.41%27841167.64%920751406118258149
16Utica Comets11000000211110000002110000000000021.0002240042293472326332132629178812400.00%3166.67%043669063.19%18534054.41%27841167.64%920751406118258149
17Wilkes-Barre/Scranton Penguins1010000024-21010000024-20000000000000.0002460042293472126332132629247423400.00%10100.00%043669063.19%18534054.41%27841167.64%920751406118258149
Total26165000321086741128100021532924148400011553817400.76910818429213422934792426332132629474155116574571933.33%451077.78%143669063.19%18534054.41%27841167.64%920751406118258149
_Since Last GM Reset26165000321086741128100021532924148400011553817400.76910818429213422934792426332132629474155116574571933.33%451077.78%143669063.19%18534054.41%27841167.64%920751406118258149
_Vs Conference161210003069363310710002040231765000010291316300.9386912018901422934755826332132629278867835033927.27%32778.13%043669063.19%18534054.41%27841167.64%920751406118258149

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2640W210818429292447415511657413
All Games
GPWLOTWOTL SOWSOLGFGA
26165003210867
Home Games
GPWLOTWOTL SOWSOLGFGA
128100215329
Visitor Games
GPWLOTWOTL SOWSOLGFGA
148400115538
Last 10 Games
WLOTWOTL SOWSOL
610012
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
571933.33%451077.78%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
263321326294229347
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
43669063.19%18534054.41%27841167.64%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
920751406118258149


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
518Manitoba Moose4Chicago Wolves5WXXBoxScore
730Chicago Wolves6Charlotte Checkers3WBoxScore
943Utica Comets1Chicago Wolves2WBoxScore
1161Chicago Wolves6Belleville Senators3WBoxScore
1371Chicago Wolves1Colorado Eagles4LBoxScore
1584Hershey Bears1Chicago Wolves4WBoxScore
17105Charlotte Checkers1Chicago Wolves2WBoxScore
20118Chicago Wolves4Bakersfield Condors5LBoxScore
23138Rockford IceHogs0Chicago Wolves8WBoxScore
25161Chicago Wolves2San Jose Barracuda4LBoxScore
27173Wilkes-Barre/Scranton Penguins4Chicago Wolves2LBoxScore
29187Chicago Wolves4Hershey Bears2WBoxScore
30202Chicago Wolves5Belleville Senators2WBoxScore
32218Hershey Bears0Chicago Wolves7WBoxScore
35233Chicago Wolves4Tucson Roadrunners2WBoxScore
37244Bridgeport Islanders3Chicago Wolves4WXXBoxScore
38262Chicago Wolves5Bakersfield Condors3WBoxScore
40274Chicago Wolves1Texas Stars3LBoxScore
42283Coachella Valley Firebirds6Chicago Wolves5LXXBoxScore
44305Syracuse Crunch2Chicago Wolves3WBoxScore
47329Chicago Wolves6Calgary Wranglers0WBoxScore
48342Chicago Wolves3Toronto Marlies2WXXBoxScore
50347Syracuse Crunch4Chicago Wolves6WBoxScore
53368Chicago Wolves3Colorado Eagles4LXXBoxScore
55377Chicago Wolves5Hershey Bears1WBoxScore
57384Belleville Senators3Chicago Wolves5WBoxScore
60407LeHigh Valley Phantoms-Chicago Wolves-
61418Chicago Wolves-Henderson Silver Knights-
65438Chicago Wolves-Belleville Senators-
66448Providence Bruins-Chicago Wolves-
68466Chicago Wolves-Hartford Wolf Pack-
71477Cleveland Monsters-Chicago Wolves-
73492Chicago Wolves-Rochester Americans-
75508Rochester Americans-Chicago Wolves-
80534Manitoba Moose-Chicago Wolves-
88564Rockford IceHogs-Chicago Wolves-
90587Chicago Wolves-Utica Comets-
91594Chicago Wolves-Iowa Wild-
93607San Jose Barracuda-Chicago Wolves-
95626Wilkes-Barre/Scranton Penguins-Chicago Wolves-
98644Chicago Wolves-Springfield Thunderbirds-
99655Chicago Wolves-Wilkes-Barre/Scranton Penguins-
101671Ontario Reign-Chicago Wolves-
103691Utica Comets-Chicago Wolves-
106711Chicago Wolves-Laval Rocket-
108722Charlotte Checkers-Chicago Wolves-
110743Chicago Wolves-Manitoba Moose-
112753Charlotte Checkers-Chicago Wolves-
114772Chicago Wolves-Manitoba Moose-
116787Chicago Wolves-Providence Bruins-
117793Colorado Eagles-Chicago Wolves-
122820Hershey Bears-Chicago Wolves-
124832Chicago Wolves-LeHigh Valley Phantoms-
126850Laval Rocket-Chicago Wolves-
128861Chicago Wolves-Abbotsford Canucks-
142877Chicago Wolves-Syracuse Crunch-
143889Toronto Marlies-Chicago Wolves-
147912Chicago Wolves-Syracuse Crunch-
149921Hartford Wolf Pack-Chicago Wolves-
151946Texas Stars-Chicago Wolves-
153956Chicago Wolves-Charlotte Checkers-
157981San Diego Gulls-Chicago Wolves-
Trade Deadline --- Trades can’t be done after this day is simulated!
158988Chicago Wolves-Abbotsford Canucks-
1631011Milwaukee Admirals-Chicago Wolves-
1701039Utica Comets-Chicago Wolves-
1711045Chicago Wolves-Charlotte Checkers-
1741068Grand Rapids Griffins-Chicago Wolves-
1781093Milwaukee Admirals-Chicago Wolves-
1801099Chicago Wolves-Bridgeport Islanders-
1831113Chicago Wolves-San Jose Barracuda-
1871131Manitoba Moose-Chicago Wolves-
1931152Chicago Wolves-Bridgeport Islanders-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3010
Attendance23,22111,936
Attendance PCT96.75%99.47%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
24 2930 - 97.66% 80,239$962,869$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
856,819$ 2,800,000$ 1,814,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
14,433$ 856,819$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,925,738$ 136 14,433$ 1,962,888$




Chicago Wolves Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Chicago Wolves Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Chicago Wolves Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Chicago Wolves Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Chicago Wolves Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA